code: def test_function2(self, x, y):
      return -(x**2) - (y - 1) ** 2 + 1
  
file_path: advisor/advisor_server/suggestion/algorithm/bayesian_optimization.py
imports: from __future__ import print_function
  from __future__ import division
  import json
  import numpy
  from sklearn.gaussian_process import GaussianProcessRegressor
  from sklearn.gaussian_process.kernels import Matern
  from suggestion.models import Study
  from suggestion.models import Trial
  from suggestion.algorithm.abstract_algorithm import AbstractSuggestionAlgorithm
  from suggestion.algorithm.random_search import RandomSearchAlgorithm
label_desc: Use image node_id 1 for calling the BayesianOptimizationDemo obj's underlying member method code with example usage: obj.test_function2(x, y) and returns: unknown